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@inproceedings{zeng2015distant,
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}

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@inproceedings{wu2017adversarial,
  title={Adversarial training for relation extraction},
  author={Wu, Yi and Bamman, David and Russell, Stuart},
  booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
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  year={2017}
}

@inproceedings{liu2017soft,
  title={A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction},
  author={Liu, Tianyu and Wang, Kexiang and Chang, Baobao and Sui, Zhifang},
  booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
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}

@article{qin2018dsgan,
  title={DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction},
  author={Qin, Pengda and Xu, Weiran and Wang, William Yang},
  journal={arXiv preprint arXiv:1805.09929},
  year={2018}
}

@inproceedings{feng2018reinforcement,
  title={Reinforcement Learning for Relation Classification from Noisy Data},
  author={Feng, Jun and Huang, Minlie and Zhao, Li and Yang, Yang and Zhu, Xiaoyan},
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  year={2018}
}

@article{qin2018robust,
  title={Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning},
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  journal={arXiv preprint arXiv:1805.09927},
  year={2018}
}

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@inproceedings{han2018hierarchical,
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@article{han2018fewrel,
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@article{zeng2016incorporating,
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@InProceedings{reside2018,
  author = 	"Vashishth, Shikhar
		and Joshi, Rishabh
		and Prayaga, Sai Suman
		and Bhattacharyya, Chiranjib
		and Talukdar, Partha",
  title = 	"{RESIDE}: Improving Distantly-Supervised Neural Relation Extraction using Side Information",
  booktitle = 	"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
  year = 	"2018",
  publisher = 	"Association for Computational Linguistics",
  pages = 	"1257--1266",
  location = 	"Brussels, Belgium",
  url = 	"http://aclweb.org/anthology/D18-1157"
}
